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DeepSeek-V3 0324 vs IBM Granite 4.2 3B

DeepSeek-V3 0324 and IBM Granite 4.2 3B are closely matched at 13.7 and 15.6 on the LLM Stats Score.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek-V3 0324 and IBM Granite 4.2 3B are closely matched on the overall LLM Stats Score at 13.7 and 15.6.

In the 2 individual benchmarks reported for both models, DeepSeek-V3 0324 wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3 0324

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose IBM Granite 4.2 3B

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Core performance indexes
13.7
#229
15.6
#213
13.9
#219
12.0
#234
4.1
#200
-6.7
#247
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.28 / M
— / M
Output price
$1.14 / M
— / M
Context window
163,840

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3 0324
IBM Granite 4.2 3B
16.1#200
13.7#216
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 13 for IBM Granite 4.2 3B

2 shared

DeepSeek-V3 0324 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while IBM Granite 4.2 3B is better at 0 benchmarks.

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

668.0B diff

DeepSeek-V3 0324 has 668.0B more parameters than IBM Granite 4.2 3B, making it 22266.7% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
IBM
IBM Granite 4.2 3B
3.0Bparameters
671.0B
DeepSeek-V3 0324
3.0B
IBM Granite 4.2 3B

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
IBM
IBM Granite 4.2 3B
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while IBM Granite 4.2 3B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

IBM Granite 4.2 3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while IBM Granite 4.2 3B was released on 2026-08-25.

IBM Granite 4.2 3B is 17 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.4 years ago

IBM Granite 4.2 3B

Aug 25, 2026

6 days ago

1.4yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and IBM Granite 4.2 3B side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
IBM Granite 4.2 3B
Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs IBM Granite 4.2 3B.

Which is better, DeepSeek-V3 0324 or IBM Granite 4.2 3B?

DeepSeek-V3 0324 and IBM Granite 4.2 3B are closely matched on the LLM Stats Score at 13.7 and 15.6. DeepSeek-V3 0324 is made by DeepSeek and IBM Granite 4.2 3B is made by IBM. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3 0324 compare to IBM Granite 4.2 3B in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. IBM Granite 4.2 3B scores AIME 2025: 78.3%, IFBench: 74.3%, LiveCodeBench v6: 69.7%, MMLU-Pro: 67.8%, RULER 64k: 67.5%.

What are the context window sizes for DeepSeek-V3 0324 and IBM Granite 4.2 3B?

DeepSeek-V3 0324 supports 164K tokens and IBM Granite 4.2 3B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 0324 and IBM Granite 4.2 3B?

Key differences include LLM Stats Score (13.7 vs 15.6), licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and IBM Granite 4.2 3B?

DeepSeek-V3 0324 is developed by DeepSeek and IBM Granite 4.2 3B is developed by IBM.